A point process model of respiratory dynamics in early physiological development
UMass Chan Affiliations
Department of NeurologyDocument Type
Journal ArticlePublication Date
2011-08-30Keywords
interbreath intervalbreathing dynamics
irregularity
neurophysiology
Biomedical Engineering and Bioengineering
Circulatory and Respiratory Physiology
Medical Physiology
Neurology
Physiological Processes
Respiratory System
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Show full item recordAbstract
Interbreath interval (IBI), the time interval between breaths, and its variations in time around the mean, the IBI variability, are important measures associated with irregularity of breathing. The IBI histogram generally follows a power law distribution with its characterizing parameters changing with maturation. To assess the dynamics of breathing we propose a point process model of IBI with a lognormal parametric structure to appropriately represent the stochastic nature of the IBI distribution. We estimate the time varying evolution of the characterizing parameters to represent the dynamic nature of breathing, and thereby provide a time-varying measure of irregularity in breathing. The reliability of the model to capture the data is assessed using Kolmogorov-Smirnov (KS) and independence tests. Our results validate the novel approach in the assessment of the irregularity of breathing by analyzing respiratory recordings from newborn rats and preterm infants.Source
Indic P, Paydarfar D, Barbieri R. A point process model of respiratory dynamics in early physiological development. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:3804-7. doi: 10.1109/IEMBS.2011.6090771. PMID: 22255168; PMCID: PMC3340562. Link to article on publisher's site
DOI
10.1109/IEMBS.2011.6090771Permanent Link to this Item
http://hdl.handle.net/20.500.14038/29527PubMed ID
22255168Related Resources
ae974a485f413a2113503eed53cd6c53
10.1109/IEMBS.2011.6090771